Forecasting Air Pollution by Adaptive Neuro Fuzzy Inference System

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F19%3APU135405" target="_blank" >RIV/00216305:26210/19:PU135405 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.23919/SpliTech.2019.8783075" target="_blank" >http://dx.doi.org/10.23919/SpliTech.2019.8783075</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.23919/SpliTech.2019.8783075" target="_blank" >10.23919/SpliTech.2019.8783075</a>

Result language
angličtina
Original language name
Forecasting Air Pollution by Adaptive Neuro Fuzzy Inference System
Original language description
Air pollution causes a variety of adverse effects on humans such as illness or even death and damages the living organisms and the natural environment. This environmental issue needs to be controlled using various application and technology to estimate the composition of multiple pollutants in the atmosphere for a specified time and location. The present study aims to develop a system for air pollution forecasting using an adaptive neuro-fuzzy inference system. This method is a type of artificial neural network that integrates both neural networks and fuzzy logic principles. The adaptive neuro-fuzzy inference system calculations include four phases including implement fuzzy system, enter parameters, start the learning process, and verify the processed data. As a sample, the concentrations of atmospheric pollutant data recorded by sensors. The adaptive neuro-fuzzy inference system method predicts four air pollution indicator levels, including carbon monoxide, sulfur dioxide, nitrogen oxides, and trioxygen. The analysis results reveal that the mean absolute error of the adaptive neuro-fuzzy inference system method results is less than 15 %.
Czech name
—
Czech description
—

Project
<a href="/en/project/EF15_003%2F0000456" target="_blank" >EF15_003/0000456: Sustainable Process Integration Laboratory (SPIL)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2019 4TH INTERNATIONAL CONFERENCE ON SMART AND SUSTAINABLE TECHNOLOGIES (SPLITECH)
ISBN
978-953-290-091-0
ISSN
—
e-ISSN
—
Number of pages
3
Pages from-to
456-458
Publisher name
Institute of Electrical and Electronics Engineers Inc.
Place of publication
Neuveden
Event location
Univ Split, Fac Elect Engn, Mech Engn & Naval Ar
Event date
Jun 18, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000502810800083

Similar results(10)